{"id":"W3034906170","doi":"10.1007/s13595-020-00968-8","title":"Long-term logging residue loadings affect tree growth but not soil nutrients in Pinus contorta Doug. ex Loud. forests","year":2020,"lang":"en","type":"article","venue":"Annals of Forest Science","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Forests; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Yunnan University","keywords":"Pinus contorta; Nutrient; Logging; Environmental science; Ecosystem; Agronomy; Nutrient cycle; Soil nutrients; Residue (chemistry); Forest ecology; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001672341,0.000384191,0.0001579951,0.0003208915,0.0002880849,0.0004087632,0.0003885888,0.0002554488,0.001430068],"category_scores_gemma":[0.0002713206,0.0002019832,0.000155842,0.0001684422,0.0002650399,0.0004583786,0.0003551223,0.0002896053,0.0001936244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003548603,"about_ca_system_score_gemma":0.000177094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01345129,"about_ca_topic_score_gemma":0.03882214,"domain_scores_codex":[0.9999175,0.00001522262,0.000004861804,0.00002677187,0.0000106493,0.00002503718],"domain_scores_gemma":[0.9996642,0.00009575555,0.0000884998,0.00001705263,0.00003430988,0.0001000932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003455366,0.0009229544,0.5661743,0.0001274461,0.0002301576,0.0008159018,0.000484523,0.0009262173,0.4142902,0.0001821087,0.0004703435,0.01192033],"study_design_scores_gemma":[0.000007237238,0.0001057223,0.9969182,0.000003081304,0.00002084924,0.00006436402,0.0001439562,0.0004509257,0.002143858,0.00004153609,0.00009571663,0.000004598474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996617,0.00005030277,0.00002624344,0.00001157671,0.000002082975,0.000001444914,0.00004796932,0.000003835629,0.0001948348],"genre_scores_gemma":[0.9992493,0.00002812934,0.00003029545,0.00002423375,0.000001299034,0.000003542314,0.0001001258,0.000003864391,0.0005592075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01345129,"threshold_uncertainty_score":0.02674598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03900078169942259,"score_gpt":0.2785792585831597,"score_spread":0.2395784768837371,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}